Multiple-Stations Scalable Transmission With Compressed Sensing for Near-Space Communication

Abstract

Near-space communication suffers from communication blackout, which reduces the communication quality. To solve this problem, an efficient Multiple-Stations Scalable Transmission scheme based on compressed sensing theory is proposed. The proposed scheme exhibits two advantages. First, multiple-station receivers are disposed at different locations to accomplish continuous and real-time communication with the hypersonic vehicle. Second, by utilizing the democracy and scalability of the CS, a scalable CS-based coding method is developed in which a two-layer structure is adopted to improve the coding efficiency. Finally, simulation results show that the proposed scheme can achieve a reliable communication in the presence of data loss caused by communication interruption.